Practice and extensive exercises are essential in programming education. Intelligent tutoring systems (ITSs) are a viable option to provide individualized hints and advice to programming students even when human tutors are not available. However, prior ITS for programming rarely support the Python programming language, mostly focus on introductory programming, and rarely take recent developments in generative models into account. We aim to establish a novel ITS for Python programming that is highly adaptable, serves both as a teaching and research platform, provides interfaces to plug in hint mechanisms (e.g.\ via large language models), and works inside the particularly challenging regulatory environment of Germany, that is, conforming to the European data protection regulation, the European AI act, and ethical framework of the German Research Foundation. In this paper, we present the description of the current state of the ITS along with future development directions, as well as discuss the challenges and opportunities for improving the system.

翻译：实践和大量练习在编程教育中至关重要。智能辅导系统（ITS）可在缺乏人类导师的情况下，为编程学生提供个性化提示和建议。然而，现有的编程ITS很少支持Python编程语言，大多侧重于入门级编程教学，且鲜少考虑生成式模型的最新进展。我们旨在构建一个新型Python编程ITS系统：该系统具有高度适应性，可作为教学与研究双重平台，提供接入提示机制（如通过大型语言模型）的接口，并能适应德国特殊的严格监管环境，即符合欧洲数据保护条例、欧盟人工智能法案以及德国研究基金会伦理框架。本文阐述了该ITS的当前发展状态、未来开发方向，并讨论了系统改进面临的挑战与机遇。